Model testing first part added

Backend/.ipynb_checkpoints/SF_Weed_identification_Finalized-checkpoint.ipynb

@@ -523,6 +523,37 @@
     "ensemble_output = Average()(model_outputs)\n",
     "ensemble_model = Model(inputs = model_input , outputs = ensemble_output , name = 'ensemble')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "🟩 04 - Model Testing by Make Predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_prep_image(filename , img_shape=224):\n",
+    "\n",
+    "  print('FILe Name type - ', type(filename))\n",
+    "  img = tf.io.read_file(filename)\n",
+    "  print('img 1- ', type(img))\n",
+    "\n",
+    "  img = tf.image.decode_image(img)\n",
+    "  print('img 2- ', type(img))\n",
+    "  \n",
+    "  img = tf.image.resize(img , size=[img_shape , img_shape])\n",
+    "\n",
+    "  img = img/255.\n",
+    "\n",
+    "  return img"
+   ]
   }
  ],
  "metadata": {

Backend/SF_Weed_identification_Finalized.ipynb

@@ -523,6 +523,37 @@
     "ensemble_output = Average()(model_outputs)\n",
     "ensemble_model = Model(inputs = model_input , outputs = ensemble_output , name = 'ensemble')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "🟩 04 - Model Testing by Make Predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_prep_image(filename , img_shape=224):\n",
+    "\n",
+    "  print('FILe Name type - ', type(filename))\n",
+    "  img = tf.io.read_file(filename)\n",
+    "  print('img 1- ', type(img))\n",
+    "\n",
+    "  img = tf.image.decode_image(img)\n",
+    "  print('img 2- ', type(img))\n",
+    "  \n",
+    "  img = tf.image.resize(img , size=[img_shape , img_shape])\n",
+    "\n",
+    "  img = img/255.\n",
+    "\n",
+    "  return img"
+   ]
   }
  ],
  "metadata": {